Senior Data Platform Engineer

About the role

Agilytic, a boutique data and AI consultancy founded in 2015, is looking for a Senior Data Platform Engineer in Brussels. As the senior technical reference of its Platform Engineering & BI practice, you design data platforms end-to-end, set them up with the team and act as the go-to expert on difficult problems. The role also covers the AI Platform layer: the infrastructure, patterns and guardrails that let AI applications run reliably in production. It is a senior individual contributor role: you do not manage a team day-to-day, but you coach mid-level engineers and partner with the Practice Director and Managing Partners.

Key responsibilities

• Own the architecture of data and AI platforms for clients: ingestion, storage, transformation, orchestration, serving, observability and security.
• Set up and harden production environments on modern cloud stacks (AWS, Azure, GCP) using tools such as Databricks, Snowflake, Microsoft Fabric, dbt and Airflow.
• Build the AI Platform layer: model serving, feature stores, RAG pipelines, vector stores, evaluation and monitoring, and guardrails around LLM-based applications.
• Provide senior technical support: code reviews, troubleshooting, performance tuning and unblocking junior and mid-level engineers.
• Coach the team through pairing, technical write-ups, internal sessions and clear standards.
• Work directly with client tech leads, architects and CTOs, and contribute to proposals and scoping discussions.

Required profile

• Master's degree in engineering, computer science, mathematics, statistics or a related quantitative discipline, and at least 5 years of experience in data or platform engineering (7 to 8 years preferred).
• Proven experience designing and operating production data platforms on at least one major cloud, and building or running AI/ML platform components.
• Experience working directly with client stakeholders in a consulting or in-house lead role.
• Fluent English, plus French or Dutch (strong Dutch highly valued); eligibility to work in Belgium and the EU; valid type B driving licence.

Required skills

• Cloud platforms: AWS, Azure or GCP.
• Data stack: Databricks, Snowflake, Microsoft Fabric, dbt, Airflow, SQL and Python.
• CI/CD, infrastructure as code (Terraform or equivalent) and DevOps practices for data.
• Data modelling patterns (medallion, dimensional, contract-driven pipelines) and security/governance basics (IAM, secrets, lineage, GDPR awareness).

What we offer

• Flexible and hybrid working, with team meetings in Brussels every Friday.
• Competitive package with variable incentives, mobility budget, phone subscription, laptop and meal vouchers.
• Remote flexibility within the limits of client and team needs.
• Training and development roadmap co-designed with you.
• Modern hardware and software.